But I and others in my company have very heavy usage. We only rarely, with parallel agentic processes, run out of the $200 a month plan.
And what do I mean by "hard"? I mean, it requires a lot of active thinking to think about how you can actively max it out. I'm sure there's some use cases where maybe it is not hard to do this, but in general, I find most devs can't even max out the $100 a month plan, because they haven't quite figured out how to leverage it to that degree yet.
(Again, if someone is using the API instead of subscription, I wouldn't be surprised to see $2,000 bills.)
You can use a Max subscription for work, btw.
I assume you meant loss-leader. We can’t know that without knowing their financials. The actual marginal cost of inference is demonstrably less than $200/mo though, so it’s not clear whether they are operating at a loss. Without seeing their books we can’t know.